Deepfake Detection on FaceForensics++ c23 (train)

98.68FF c23 ScoreLDP-RGBFNet

Evaluation results

Method
LDP-RGBFNet2026.01	98.68	76.87	99.98	98.71	99.72	96.31	95.05
RGB-LDP Fusion-SSAT2026.01	98.65	83.49	99.96	99.21	99.78	95.71	96.13
DF-Adapter2026.01	98.62	96.83	99.84	99.76	99.33	95.97	98.39
LDP-LDPFNet2026.01	98.57	76.73	99.96	98.44	99.69	96.17	94.93
Fairness2026.01	98.28	80.91	99.05	98.65	99.23	96.35	95.41
RGB-LDPFNet2026.01	98.15	82.83	99.96	98.28	99.4	94.96	95.59
RGB-LDPFNet2026.01	97.4	77.24	99.96	96.88	99.14	93.64	94.04
UCF2026.01	97.05	83.99	98.83	98.4	98.96	94.41	95.27
LDP-LDPFNet2026.01	96.87	77.27	99.95	96.67	98.93	91.93	93.6
SSAT2026.01	96.82	74.38	99.91	96.03	99.22	92.15	93.08
CORE2026.01	96.38	81.94	97.87	98.03	98.23	93.39	94.31
Xception2026.01	96.37	82.61	97.99	97.85	98.33	93.85	94.5
F3Net2026.01	96.35	82.71	97.93	97.96	98.44	93.54	94.49
FFD2026.01	96.24	82.37	98.03	97.84	98.53	93.06	94.34
Recce2026.01	96.21	81.9	97.97	97.79	97.85	93.57	94.22
SPSL2026.01	96.1	81.74	97.81	97.54	98.29	92.99	94.08
X-ray2026.01	95.92	79.25	97.94	98.72	98.71	92.9	93.91
OPR2026.01	95.91	60.78	98.61	92.72	92.72	90.71	88.58
SRM2026.01	95.76	81.14	97.33	96.96	97.4	92.95	93.59
EfficientB42026.01	95.67	81.5	97.57	97.58	97.97	93.08	93.89
RGB-LDP Fusion-SSAT2026.01	94.91	77.96	99.41	94.51	98.66	87.1	92.09
AVAD2026.01	94.1	79.8	98.72	95.34	92.67	90.93	91.93
MARLIN2026.01	93.7	80.59	93.99	92.5	95.8	97.08	92.28
FWA2026.01	87.65	73.57	92.1	90	88.43	81.2	85.49
PFF2026.01	85.18	69.82	85.91	92.81	82.71	85.61	83.67
CNN-Aug2026.01	84.93	78.46	90.48	87.88	90.26	73.13	84.19
Capsule2026.01	84.21	70.4	86.69	86.34	87.34	78.04	82.17
StyleGRU2026.01	82.97	70.91	94	68.5	88.8	80.6	82.97
MesoIncep2026.01	75.83	72.78	85.42	80.87	74.21	65.17	75.71
LDP-RGBFNet2026.01	67.66	65.66	86.22	60.47	61.12	62.81	67.32
Meso42026.01	60.77	59.2	67.71	61.7	59.46	57.01	60.97